> For the complete documentation index, see [llms.txt](https://tickr.gitbook.io/tickr/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://tickr.gitbook.io/tickr/the-tickr-app/tickr-toolkit.md).

# Tickr Toolkit

### Current Trending Words: 

Stay informed about the latest buzz in the crypto space with detailed information about trending words. Get a sense of which trends are worth following.

### High Potential Tokens: 

Save time by only viewing noteworthy tokens that align with specific trends, as selected by the automated system.

### Semantic and Context Matching: 

Get a deeper understanding of trends by identifying patterns based on semantic and context matching, not just keywords.

### Identify Scams: 

Avoid potential scams with the state-of-the-art AI, which helps identify and flag fraudulent tokens.

Prominent Influencers & Celebrities: 

Get insights into tokens that stem from tweets by notable celebrities and influencers, allowing users to stay aware of those who are currently impactful and worth paying attention to.

### Trend Analysis: 

Utilize the platform to identify patterns in token creation and distinguish between successful projects and potential scams.

### Avoiding Hype: 

The platform provides users with the information they need to identify overhyped launches and potential scams, helping them make more informed investment decisions.

### Word Matching: 

With the AI keyword matching feature, users can access stats on all tokens sharing a specific name, enabling them to distinguish between trendsetters and those simply following the trend.